Evidence map›Paper›PMID 39775387›Full record

Observational studyLa Radiologia medica2025

Complexity of intrinsic brain activity in relapsing-remitting multiple sclerosis patients: patterns, association with structural damage, and clinical disability.

Fuqing Zhou, Zhizheng Zhuo, Lin Wu, Yuxin Li, Ningnannan Zhang, Xuemei Han, Chun Zeng, Lei Wang, Xiaoya Chen, Muhua Huang and 6 more

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Fuqing ZhouDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.ORCID http://orcid.org/0000-0002-0890-910X
Zhizheng ZhuoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Lin WuDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Yuxin LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Ningnannan ZhangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Xuemei HanDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130031, Jilin Province, China.
Chun ZengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Lei WangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Xiaoya ChenDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Muhua HuangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Yanyan ZhuDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
Haiqing LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Guanmei CaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Jie SunDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Yongmei LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. lymzhang70@aliyun.com.
Yunyun DuanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. duanyun1981@126.com.

Funding

the National Natural Science Foundation of China 81771808the National Natural Science Foundation of China 82071907the National Natural Science Foundation of China 82160331
6 · The paper itself

Abstract

Functional plasticity has been demonstrated in multiple sclerosis (MS) studies. However, the intrinsic brain activity complexity alterations remain unclear. Here, using a coarse-graining time-series procedure algorithm, we obtained multiscale entropy (MSE) from a retrospective multi-centre dataset (208 relapsing-remitting MS patients and 228 healthy controls). By linear mixed model analysis, we demonstrated (1) increased entropy at scale 1 and decreased entropy at scale 6, indicating that regional brain activity shifted towards randomness in the stable MS subgroups (n = 159), and (2) decreased entropy across scales 1-6, trending towards regularity in the acute MS subgroups (n = 49). The main results of the correlation analysis included the following: (1) Decreased entropy was associated with lesion volume and brain volume specifically on longer time scales (scale 3-5), and (2) increased entropy of scale 3 was associated with clinical disability scores. These findings reflect the critical role of structural disruption in the brain activity complexity of BOLD signals in MS patients.

Indexed as

BrainMagnetic Resonance ImagingMultiple Sclerosis, Relapsing-RemittingAdultAlgorithmsDisability EvaluationEntropyFemaleHumansMaleMiddle AgedRetrospective StudiesComplexityEntropyMultiple sclerosisResting-state functional MRI

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.